TTC Group · 8 hours ago
Associate Distinguished Engineer - AI Transformation Leader
New York, United States
Full-time
Onsite
Lead/Staff
12+ years expTTC Group is seeking an Associate Distinguished Engineer - AI Transformation Leader who will act as a senior technical authority responsible for architecting and scaling next-generation AI systems across enterprises. The role involves partnering with senior technology leaders to define AI architectures and recommend engineering strategies while ensuring the responsible and secure adoption of AI technologies.
Information Technology & Services
Hiring Manager
Roshan Parulekar
Responsibilities
Architect enterprise-grade AI systems using LLMs, multimodal models, vector databases, knowledge graphs, and agentic orchestration frameworks
Design end-to-end pipelines including data ingestion → feature engineering → model training → evaluation → deployment → feedback loops
Define and enforce engineering standards for MLOps, LLMOps, data quality, model observability, guardrails, prompt security, and hallucination mitigation
Consult on scalable microservices, model serving layers, retrieval-augmented generation (RAG) pipelines, and autonomous agent workflows
Conduct architectural reviews, performance tuning, and technical due-diligence for high-risk or complex AI solutions
Guide on how to build quick prototypes, PoCs, and production systems using modern AI stacks (transformer models, diffusion models, graph models, reinforcement learning, and agentic systems)
Advise on selection of foundation models and fine tuning approaches
Advise on real-time data streams, event-driven systems, API layers, and cloud-native compute
Establish evaluation frameworks: bias, drift, explainability, reliability, performance
Lead complex troubleshooting, debugging, and optimization of AI pipelines and distributed training workloads
Architect secure, high-throughput data platforms for AI/BI use cases based on lakehouse, medallion, streaming, and vectorized storage patterns
Define data governance, metadata, lineage, cataloging, and policy enforcement mechanisms
Deploy scalable compute using Databricks, Snowflake, Kubernetes, Ray, SageMaker, Vertex AI, and Azure ML
Guide CIO/CTO/CDO teams on AI system design, architecture modernization, model lifecycle governance, and platform engineering standards
Translate ambiguous requirements into well-scoped technical blueprints, reference architectures, and engineering backlogs
Evaluate enterprise readiness across data, models, infrastructure, and processes — producing AI maturity assessments and architectural recommendations
Mentor engineering teams in building reliable, secure, and scalable AI systems with measurable outcomes
Lead deep-dive technical workshops on agentic systems, generative AI patterns, model safety architectures, continuous learning loops, and intelligent automation
Collaborate with hyperscalers and partners (AWS, Azure, GCP, Databricks, Snowflake, NVIDIA) on technical accelerators, performance benchmarks, and reference implementations
Stay ahead of emerging architectures (multi-agent, RAG 2.0, synthetic data generation, self-improving systems) and translate them into actionable engineering strategies
Qualification
Required
12+ years in AI/ML, data engineering, or large-scale distributed systems
Deep hands-on expertise in: Foundation models (LLMs, multimodal, vision, speech, embeddings)
Model finetuning, training, inference optimization, evaluation
MLOps/LLMOps workflows and ML engineering best practices
Vector databases, knowledge graphs, retrieval systems
Strong experience with cloud-native architectures (AWS, Azure, GCP) and data platforms (Databricks, Snowflake, BigQuery, Lakehouse)
Demonstrated ability to design complex AI systems that operate reliably at scale
Experience influencing senior technology leaders through architectural clarity and technical depth
Strong documentation, architecture storytelling, and ability to simplify complex technical concepts for varied audiences
Preferred
Track record of publications, open-source contributions, patents, technical talks, or recognized technical leadership is a strong plus
Company
TTC Group
At TTC Group, we don’t just fill roles—we build high-performing teams and future-proof tech solutions.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase